Ahmed Mohieldin, Ambalavanan Chidambaram, Ramar Sabapathivinayagam and Waleed Al Busairi
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Doha Mohamed, Sahar Al-Okbi, Dardiri El-Hariri and Ismael Mousa
Potential Health Benefits of Bread Supplemented with Defatted Flaxseeds under Dietary Regimen in Normal and Type 2 Diabetic Subjects
Flaxseed is a rich source of dietary fibers and lignans. Uncontrolled diabetes may induce complication represented by dyslipidemia, high oxidative stress and kidney dysfunction. In the present research the beneficial effect of two months consumption of bread supplemented with defatted flaxseeds (DFB) together with dietary regimen was evaluated in normal and type 2 diabetic patients. Protective effect towards diabetic complications was studied through evaluation of plasma lipid profile, lipid peroxidation, liver and kidney function. The nutritional status of normal and diabetic patients was evaluated through assessing body mass index and nutrients' intake. Results showed reduction of body mass index in both normal and diabetic patients after nutritional intervention. Analysis of mean dietary intake of normal and diabetic patients in the beginning of the study revealed that all subjects were hyper-caloric that reduced to be 79% and 84% from RDA, respectively after treatment. After two months of supplementation with DFB, diabetic patients showed significant reduction of plasma glucose. Both diabetic patients and normal subjects showed significant improvement in plasma lipid profile and significant reduction of lipid peroxidation. Consumption of DFB in addition of dietary regimen may be helpful in preventing diabetes and its complications.
Mohsen Razeghi, Samaneh Ebrahimi, Farzaneh Yazdani and Behdad Tahayori
Study aim: There is a lack of evidence to show the presence or absence of a relationship between foot morphology and changes of the force applied to the knee extensor mechanism. The purpose of this study was to examine whether the type of foot is a determining factor in the force applied to the extensor mechanism during walking. Materials and methods: Twenty female subjects (18-30 years), 10 with neutrally aligned feet and 10 with functional flat foot, participated in this study. Data were collected by employing a three dimensional motion capture system and a force platform, while the subjects were walking at their preferred speed. Knee extensor mechanism force was measured at sub-phases of gait (heel strike and toe-off). Results: A significant interaction was found between groups and sub-phases of gait for all the variables tested. The subjects with flat foot exhibited a significantly higher extensor mechanism force at toe-off compared to the control group (p < 0.05). Conclusion: It can be concluded that subtalar hyper-pronation would increase the force applied to the knee extensor mechanism at toe-off, through increasing the knee sagittal angle, net external flexion moment and extensor mechanism moment arm. Therefore it may increase the possibility of musculoskeletal injuries
Sam Annie-Jeyachristy, Geetha Arumugam, Surendran Rajagopal, Jeevan Kumar Subburayan and Arulprakash Sarangapani
platelets from normalsubjects and those with cirrhosis. J Biosci 2008; 33: 45-53.
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20. Kojima H, Sakurai K, Kikuchi K, Kawahara S, Kirino Y, Nagoshi H, Hirata Y, Nagano T Development of a fluorescent indicator for nitric oxide based on the fluorescein chromophore. Chem Pharm Bull
Direct and indirect measurements relevant to the assessment of fatigue of the respiratory muscles - review
The purpose of this review is to present selected tests available with the potential to detect the development of respiratory muscle fatigue in normal subjects and patients. All reviewed techniques represent a part of a variety of measures and indices, which have been employed to assess this complex process at the present time.
The scalp electroencephalography (EEG) signal is an important clinical tool for the diagnosis of several brain disorders. The objective of the presented work is to analyze the feasibility of the spectral features extracted from the scalp EEG signals in detecting brain tumors. A set of 16 candidate features from frequency domain is considered. The significance on the mean values of these features between 100 brain tumor patients and 102 normal subjects is statistically evaluated. Nine of the candidate features significantly discriminate the brain tumor case from the normal one. The results encourage the use of (quantitative) scalp EEG for the diagnosis of brain tumors
Epilepsy is a typical neurological issue which influence the focal sensory system and can make individuals have seizure. It can be surveyed by electroencephalogram (EEG). A wavelet based HURST EXPONENT strategy is displayed for the analysis of epilepsy. This strategy deals with the nonlinear analysis of EEG signals. Discrete wavelet transform is used to disintegrate the original EEG signal into specific subbands. The hurst exponent of different sub-bands is employed and then fed into two classifiers, namely SVM and KNN. The highest classification accuracy obtained in the presented work is 99% for healthy subject data versus epileptic data is obtained by SVM. However, the corresponding accuracy between normal subject data and epileptic data using SVM is obtained as 99% and 93% for the eyes open and eyes shut conditions, respectively. The detailed analysis of the methodology and results has been discussed in the paper.
Prediction of Spirometric Forced Expiratory Volume (FEV1) Data Using Support Vector Regression
In this work, prediction of forced expiratory volume in 1 second (FEV1) in pulmonary function test is carried out using the spirometer and support vector regression analysis. Pulmonary function data are measured with flow volume spirometer from volunteers (N=175) using a standard data acquisition protocol. The acquired data are then used to predict FEV1. Support vector machines with polynomial kernel function with four different orders were employed to predict the values of FEV1. The performance is evaluated by computing the average prediction accuracy for normal and abnormal cases. Results show that support vector machines are capable of predicting FEV1 in both normal and abnormal cases and the average prediction accuracy for normal subjects was higher than that of abnormal subjects. Accuracy in prediction was found to be high for a regularization constant of C=10. Since FEV1 is the most significant parameter in the analysis of spirometric data, it appears that this method of assessment is useful in diagnosing the pulmonary abnormalities with incomplete data and data with poor recording.
Mohieldin M. Ahmed, Douaa M. Mosalem, Wafaa A. Tarshouby, Aziz K. Alfeeli, Ayyoub B. Baqer and Mohamed H. Mohamed
BACKGROUND: Diabetic peripheral neuropathy (DPN) often has reduced stability during standing conditions.
AIM: To compare balance control in diabetic patients and normal subjects using computerized dynamic posturography and to assess effect of visual feedback-based balance training in DPN.
MATERIALS AND METHODS: A total of 57 patients of type 2 diabetes mellitus and 30 agematched normal control subjects were recruited. The sensory organization test was done before and after the training program. RESULTS: There was a significant decrease of mean (± SD) of composite equilibrium score and somatosensory ratio score between subgroups of DPN and control healthy group (p < 0.05). There was a significant increase of mean (± SD) of composite equilibrium score and the somatosensory ratio score after treatment as compared to results before training (p < 0.05) in mild DPN. Moreover, there were a significant correlation between composite equilibrium score and disease duration before training in the severe DPN (r = 0.368, p < 0.05).
CONCLUSIONS: Computerized dynamic posturography is an important quantitative tool in the assessment of posture instability and allows for early disclosure of the failure of the postural control system. Visual feedback-based balance training was shown to be a promising method for fall prevention among early diabetes mellitus with peripheral neuropathy.
Mario Loleski, Sofija Loleska and Nada Pop-Jordanova
Smartphones are ubiquitous, but it is still unknown what physiological functions can be monitored at clinical quality. In medicine their use is cited in many fields (cardiology, pulmology, endocrinology, rheumatology, pediatrics as well as in the field of mental health).
The aim of this paper is to explain how the use of mobile application can help clients to improve the index of their focus, concentration and motor skills. Our original developed application on Android operating system, named “neurogame” is based on an open source platform to enable assessment and therapeutic stimulation, focus and concentration with the ability to monitor the progress of the results obtained in a larger number of participants (normal subjects as well as patients with different disorders) over a period of time.
Whilst nowadays the predominant focus is on the pharmacological treatments, there is a rapidly growing interest in research on alternative options that will offer help in many cases of disorder management in terms of mobile application games.
In order to have some kind of “norms”, we evaluated a group of healthy population. Obtained results will serve as a database for comparison the future results. This article displays the results obtained as database.